k_means_cluster 0.3.0 k_means_cluster: ^0.3.0 copied to clipboard
A simple library for partitioning small to medium data sets into clusters using the k-means clustering algorithm.
We analyzed this package 13 days ago, and awarded it 130 pub points (of a possible 140):
10/10 points: Provide a valid pubspec.yaml
5/5 points: Provide a valid README.md
5/5 points: Provide a valid CHANGELOG.md
10/10 points: Use an OSI-approved license
Detected license: MIT
.
10/10 points: 20% or more of the public API has dartdoc comments
10 out of 21 API elements (47.6 %) have documentation comments.
Some symbols that are missing documentation: k_means_cluster
, k_means_cluster.Cluster.id
, k_means_cluster.Cluster.instances
, k_means_cluster.Cluster.location
, k_means_cluster.Cluster.shift
.
10/10 points: Package has an example
20/20 points: Supports 6 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)
- ✓ Android
- ✓ iOS
- ✓ Windows
- ✓ Linux
- ✓ macOS
- ✓ Web
40/50 points: code has no errors, warnings, lints, or formatting issues
INFO: Use the generic function type syntax in 'typedef's.
lib/src/k_means_cluster_base.dart:5:13
╷
5 │ typedef num DistanceMeasure(List<num> a, List<num> b);
│ ^^^^^^^^^^^^^^^
╵
To reproduce make sure you are using the lints_core and run dart analyze lib/src/k_means_cluster_base.dart
INFO: Statements in an if should be enclosed in a block.
lib/src/k_means_cluster_base.dart:161:9
╷
161 │ info["cluster-motion"][cluster.id] = <List<num>>[];
│ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
╵
To reproduce make sure you are using the lints_core and run dart analyze lib/src/k_means_cluster_base.dart
10/10 points: All of the package dependencies are supported in the latest version
No dependencies.
To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides
.
10/10 points: Package supports latest stable Dart and Flutter SDKs
Analyzed with Pana 0.22.2
, Dart 3.3.0
.
Check the analysis log for details.